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Proposed a MEMS-IMU aided GNSS tracking loops within an ultra-tightly integration architecture based on a Fuzzy model. The IMU data provide LOS Doppler information to the GNSS tracking loops based Fuzzy logic controller. The performances of the model were simulated test and compared to the conventional tracking loops. The results show the proposed model could reduce carrier phase tracking loops bandwidth...
Proposed a T-S Fuzzy to improve the performance of a integrated GNSS and MEMS-IMU which be used in a land vehicle. The T-S Fuzzy model is used to predict the position and velocity errors, inputs these errors to Kalman filter during GNSS signal outages. The performances of the model were simulated test and compared to the common Kalman filter. The results show the integrated system used the proposed...
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